research-article

Geographic information retrieval to suit immediate surroundings

Authors:

Hiroyuki Toda,

Norihito Yasuda,

Yumiko Matsuura,

Ryoji KataokaAuthors Info & Claims

GIS '09: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 452 - 455

https://doi.org/10.1145/1653771.1653842

Published: 04 November 2009 Publication History

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Abstract

This paper proposes a highly effective geographic information retrieval method. It assesses the extent implied by place names in documents and then emphasizes place names that are highly specific in terms of identifying locations. Furthermore, the method also assesses the proximity between place names and keywords in each document and adjusts the document score based on the proximity between place name associated with user's geographic intention and keywords associated with user's query. Evaluation results show that the two methods proposed herein offer improved performance according to some TREC-style evaluation metrics.

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Cited By

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Mostafa SYoussef MHarras K(2024)ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower InformationProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691250(184-195)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691250
Mostafa SHarras KYoussef M(2023)Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10200431(1-5)Online publication date: Jun-2023
https://doi.org/10.1109/VTC2023-Spring57618.2023.10200431
Nishimura TNishida KToda HSawada H(2017)Social media knows what road it is: quantifying road characteristics with geo-tagged postsSocial Network Analysis and Mining10.1007/s13278-017-0473-y7:1Online publication date: 9-Nov-2017
https://doi.org/10.1007/s13278-017-0473-y
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Index Terms

Geographic information retrieval to suit immediate surroundings
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
  2. Information systems applications
    1. Spatial-temporal systems

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Information

Published In

GIS '09: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2009

575 pages

ISBN:9781605586496

DOI:10.1145/1653771

General Chairs:
Ouri Wolfson
University of Illinois at Chicago
,
Divyakant Agrawal
University of California, Santa Barbara
,
Chang-Tien Lu
Virginia Tech

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2009

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GIS '09

Sponsor:

SIGSPATIAL

GIS '09: 17th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 4 - 6, 2009

Washington, Seattle

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

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Mostafa SYoussef MHarras K(2024)ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower InformationProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691250(184-195)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691250
Mostafa SHarras KYoussef M(2023)Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10200431(1-5)Online publication date: Jun-2023
https://doi.org/10.1109/VTC2023-Spring57618.2023.10200431
Nishimura TNishida KToda HSawada H(2017)Social media knows what road it is: quantifying road characteristics with geo-tagged postsSocial Network Analysis and Mining10.1007/s13278-017-0473-y7:1Online publication date: 9-Nov-2017
https://doi.org/10.1007/s13278-017-0473-y
Nishimura TNishida KToda HSawada HSubrahmanian VRokne JKumar RCaverlee JTong H(2016)How fashionable is each street?Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192504(429-436)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192504
Nishimura TNishida KToda HSawada H(2016)How fashionable is each street?: Quantifying road characteristics using social media2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)10.1109/ASONAM.2016.7752270(429-436)Online publication date: Aug-2016
https://doi.org/10.1109/ASONAM.2016.7752270
Endo YToda HNishida KIkedo J(2016)Classifying spatial trajectories using representation learningInternational Journal of Data Science and Analytics10.1007/s41060-016-0014-12:3-4(107-117)Online publication date: 12-Jul-2016
https://doi.org/10.1007/s41060-016-0014-1
Endo YToda HNishida KKawanobe A(2016)Deep Feature Extraction from Trajectories forźTransportation Mode EstimationProceedings, Part II, of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining - Volume 965210.1007/978-3-319-31750-2_5(54-66)Online publication date: 19-Apr-2016
https://dl.acm.org/doi/10.1007/978-3-319-31750-2_5
Hirokawa SNakatoh TNakae HSuzuki T(2015)Discovery of Implicit Feature Words of Place NameTourism Informatics10.1007/978-3-662-47227-9_3(31-42)Online publication date: 15-Jul-2015
https://doi.org/10.1007/978-3-662-47227-9_3
Hirokawa SNakatoh TNakae HSuzuki T(2014)Discovery of Implicit Feature Words of Place Name2014 IIAI 3rd International Conference on Advanced Applied Informatics10.1109/IIAI-AAI.2014.122(561-566)Online publication date: Aug-2014
https://doi.org/10.1109/IIAI-AAI.2014.122
Oku KKotera RKitayama DSumiya K(2012)Geographical Recommender System Using User Interest Model Based on Map Operation and Category SelectionInternational Journal of Handheld Computing Research10.4018/jhcr.20120701013:3(1-16)Online publication date: Jul-2012
https://doi.org/10.4018/jhcr.2012070101
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